Bibliographic record
Abstract
The article attempts to quantify the main parameters that characterize the economic crisis in Ukraine. Historical and systemic approaches are used as a basis of research methodology. In the course of the research the following methods were used: analysis to determine the comparative dynamics of macroeconomic indicators; Fourier analysis to determine the cyclical nature of the dynamics of macroeconomic indicators, the calculation of the duration and length of cycles; f-statistics to confirm the validity of the performed theoretical approximation of the lines of dynamics; analysis of variance to assess the variability of macroeconomic indicators; synthesis to build a time map of the aggravation of the crisis period of Ukraine’s economy. A comparative analysis of the dynamics of key macroeconomic indicators for the period 2010- 2020 in a quarterly manner. The cyclical nature of such dynamics is determined and formalized, with confirmation of reliability by means of f-statistics at the level of not less than 0.95. Two cycles of dynamics of macroeconomic indicators lasting 4 and 48 quarters were revealed. The beginning (IV quarter of 2010 / I quarter of 2011) and the end (IV quarter of 2023 / I quarter of 2024) of the modern period of economic crisis in Ukraine are determined. The variability of macroeconomic indicators according to their empirical values and deviations from the theoretical approximation of time lines is estimated and it is confirmed that the basis of variability of the analyzed indicators is their random fluctuations around the theoretical approximation of time lines. It was found that the greatest variability is inherent in price indices (consumer and industrial producers). The article further develops the methodological and practical principles of preventing the development of crisis processes in Ukraine by confirming their cyclicality and determining the duration of cycles, which allows to justify the application of countercyclical measures taking into account the specifics of quantitative patterns of crisis processes. The obtained results will contribute to the improvement of state regulation of economic development of Ukraine, taking into account its cyclical nature and duration of the current socioeconomic crisis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".